Here we prepare codebooks for all input data from Exp 1.
knitr::opts_chunk$set(
warning = TRUE, # show warnings during codebook generation
message = TRUE, # show messages during codebook generation
error = TRUE, # do not interrupt codebook generation in case of errors,
# usually better for debugging
echo = TRUE # show R code
)
ggplot2::theme_set(ggplot2::theme_bw())
library(pacman)
pacman::p_load(here,
codebook,
labelled,
tidyverse)
Path:
input_data/Exp1_ROI_analysis_outputs_finalparcels_VOEsplitreps_Apr05_2023_convertVectors.csv
Note - the size of this dataset is too big for the
codebook package (548352 lines), so I filtered it down to
just the data from the top 100 voxels.
ROI_data <- rio::import(here("input_data/Exp1_ROI_analysis_outputs_finalparcels_VOEsplitreps_Apr05_2023_convertVectors.csv")) %>%
filter(top_voxel_selection_method == "100")
var_label(ROI_data) <- list(
top_voxel_selection_method = "Size of extracted ROI (# voxels)",
ROI_name = "",
ROI_category = "Psychology, physics, early visual, or multiple demand ROI",
n_voxels_in_brainmasked_parcel = "N voxels in parcel",
subjectID = "",
contrast_for_topVoxel_selection = "Contrast basis for ROI selection",
selection_contrast_task_name = "Task basis for ROI selection",
extracted_copes_main_condition = "Which condition copes were extracted from",
extracted_run_number = "Which run (1-4) copes were extracted from",
mean_topVoxels_main_condition_copes = "Mean response from ROI",
vector1_topVoxels_main_condition_copes = "Vector of responses in ROI"
)
metadata_list(ROI_data)
## $`@context`
## [1] "http://schema.org/"
##
## $`@type`
## [1] "Dataset"
##
## $variableMeasured
## $variableMeasured[[1]]
## $variableMeasured[[1]]$name
## [1] "top_voxel_selection_method"
##
## $variableMeasured[[1]]$description
## [1] "Size of extracted ROI (# voxels)"
##
## $variableMeasured[[1]]$`@type`
## [1] "propertyValue"
##
##
## $variableMeasured[[2]]
## $variableMeasured[[2]]$name
## [1] "ROI_name"
##
## $variableMeasured[[2]]$description
## [1] ""
##
## $variableMeasured[[2]]$`@type`
## [1] "propertyValue"
##
##
## $variableMeasured[[3]]
## $variableMeasured[[3]]$name
## [1] "ROI_category"
##
## $variableMeasured[[3]]$description
## [1] "Psychology, physics, early visual, or multiple demand ROI"
##
## $variableMeasured[[3]]$`@type`
## [1] "propertyValue"
##
##
## $variableMeasured[[4]]
## $variableMeasured[[4]]$name
## [1] "n_voxels_in_brainmasked_parcel"
##
## $variableMeasured[[4]]$description
## [1] "N voxels in parcel"
##
## $variableMeasured[[4]]$`@type`
## [1] "propertyValue"
##
##
## $variableMeasured[[5]]
## $variableMeasured[[5]]$name
## [1] "subjectID"
##
## $variableMeasured[[5]]$description
## [1] ""
##
## $variableMeasured[[5]]$`@type`
## [1] "propertyValue"
##
##
## $variableMeasured[[6]]
## $variableMeasured[[6]]$name
## [1] "contrast_for_topVoxel_selection"
##
## $variableMeasured[[6]]$description
## [1] "Contrast basis for ROI selection"
##
## $variableMeasured[[6]]$`@type`
## [1] "propertyValue"
##
##
## $variableMeasured[[7]]
## $variableMeasured[[7]]$name
## [1] "selection_contrast_task_name"
##
## $variableMeasured[[7]]$description
## [1] "Task basis for ROI selection"
##
## $variableMeasured[[7]]$`@type`
## [1] "propertyValue"
##
##
## $variableMeasured[[8]]
## $variableMeasured[[8]]$name
## [1] "extracted_copes_main_condition"
##
## $variableMeasured[[8]]$description
## [1] "Which condition copes were extracted from"
##
## $variableMeasured[[8]]$`@type`
## [1] "propertyValue"
##
##
## $variableMeasured[[9]]
## $variableMeasured[[9]]$name
## [1] "extracted_run_number"
##
## $variableMeasured[[9]]$description
## [1] "Which run (1-4) copes were extracted from"
##
## $variableMeasured[[9]]$`@type`
## [1] "propertyValue"
##
##
## $variableMeasured[[10]]
## $variableMeasured[[10]]$name
## [1] "mean_topVoxels_main_condition_copes"
##
## $variableMeasured[[10]]$description
## [1] "Mean response from ROI"
##
## $variableMeasured[[10]]$`@type`
## [1] "propertyValue"
##
##
## $variableMeasured[[11]]
## $variableMeasured[[11]]$name
## [1] "vector1_topVoxels_main_condition_copes"
##
## $variableMeasured[[11]]$description
## [1] "Vector of responses in ROI"
##
## $variableMeasured[[11]]$`@type`
## [1] "propertyValue"
##
##
##
## $description
## [1] "\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name |label | n_missing|\n|:--------------------------------------|:---------------------------------------------------------|---------:|\n|top_voxel_selection_method |Size of extracted ROI (# voxels) | 0|\n|ROI_name | | 0|\n|ROI_category |Psychology, physics, early visual, or multiple demand ROI | 0|\n|n_voxels_in_brainmasked_parcel |N voxels in parcel | 0|\n|subjectID | | 0|\n|contrast_for_topVoxel_selection |Contrast basis for ROI selection | 0|\n|selection_contrast_task_name |Task basis for ROI selection | 0|\n|extracted_copes_main_condition |Which condition copes were extracted from | 0|\n|extracted_run_number |Which run (1-4) copes were extracted from | 0|\n|mean_topVoxels_main_condition_copes |Mean response from ROI | 0|\n|vector1_topVoxels_main_condition_copes |Vector of responses in ROI | 0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2)."
metadata(ROI_data)$name <- "ROI data, Exp 1"
metadata(ROI_data)$description <- "ROI data from Exp1 in the manuscript entitled 'Violations of physical and psychological expectations in the human adult brain' by Liu et al."
metadata(ROI_data)$datePublished <- "2023-08-21"
metadata(ROI_data)$creator <- list(
"@type" = "Person",
givenName = "Shari", familyName = "Liu",
email = "shariliu@jhu.edu",
affiliation = list("@type" = "Organization",
name = "Johns Hopkins University, Baltimore, MD, USA"))
metadata(ROI_data)$citation <- "Liu, S., Lydic, K., Mei, L., & Saxe, R. (2023, preprint). Violations of physical and psychological expectations in the human adult brain."
metadata(ROI_data)$temporalCoverage <- "2023"
codebook(ROI_data)
## No missing values.
Dataset name: ROI data, Exp 1
ROI data from Exp1 in the manuscript entitled ‘Violations of physical and psychological expectations in the human adult brain’ by Liu et al.
Temporal Coverage: 2023
Citation: Liu, S., Lydic, K., Mei, L., & Saxe, R. (2023, preprint). Violations of physical and psychological expectations in the human adult brain.
Date published: 2023-08-21
Creator:
| name | value |
|---|---|
| @type | Person |
| givenName | Shari |
| familyName | Liu |
| shariliu@jhu.edu | |
| affiliation | Organization , Johns Hopkins University, Baltimore, MD, USA |
|
#Variables
Size of extracted ROI (# voxels)
Distribution of values for top_voxel_selection_method
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| top_voxel_selection_method | Size of extracted ROI (# voxels) | numeric | 0 | 1 | 100 | 100 | 100 | 100 | 0 | ▁▁▇▁▁ |
Distribution of values for ROI_name
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| ROI_name | character | 0 | 1 | 48 | 0 | 8 | 53 | 0 |
Psychology, physics, early visual, or multiple demand ROI
Distribution of values for ROI_category
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| ROI_category | Psychology, physics, early visual, or multiple demand ROI | character | 0 | 1 | 4 | 0 | 2 | 12 | 0 |
N voxels in parcel
Distribution of values for n_voxels_in_brainmasked_parcel
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| n_voxels_in_brainmasked_parcel | N voxels in parcel | numeric | 0 | 1 | 347 | 1768 | 6410 | 2285.375 | 1433.472 | ▇▆▅▁▁ |
Distribution of values for subjectID
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| subjectID | character | 0 | 1 | 17 | 0 | 14 | 14 | 0 |
Contrast basis for ROI selection
Distribution of values for contrast_for_topVoxel_selection
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| contrast_for_topVoxel_selection | Contrast basis for ROI selection | character | 0 | 1 | 4 | 0 | 11 | 20 | 0 |
Task basis for ROI selection
Distribution of values for selection_contrast_task_name
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| selection_contrast_task_name | Task basis for ROI selection | character | 0 | 1 | 2 | 0 | 3 | 4 | 0 |
Which condition copes were extracted from
Distribution of values for extracted_copes_main_condition
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| extracted_copes_main_condition | Which condition copes were extracted from | character | 0 | 1 | 24 | 0 | 21 | 29 | 0 |
Which run (1-4) copes were extracted from
Distribution of values for extracted_run_number
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| extracted_run_number | Which run (1-4) copes were extracted from | character | 0 | 1 | 4 | 0 | 4 | 4 | 0 |
Mean response from ROI
Distribution of values for mean_topVoxels_main_condition_copes
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| mean_topVoxels_main_condition_copes | Mean response from ROI | numeric | 0 | 1 | -14 | 0.28 | 19 | 0.6082247 | 2.305597 | ▁▃▇▁▁ |
Vector of responses in ROI
Distribution of values for vector1_topVoxels_main_condition_copes
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| vector1_topVoxels_main_condition_copes | Vector of responses in ROI | character | 0 | 1 | 77088 | 0 | 1175 | 1418 | 0 |
The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.
{
"name": "ROI data, Exp 1",
"description": "ROI data from Exp1 in the manuscript entitled 'Violations of physical and psychological expectations in the human adult brain' by Liu et al.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name |label | n_missing|\n|:--------------------------------------|:---------------------------------------------------------|---------:|\n|top_voxel_selection_method |Size of extracted ROI (# voxels) | 0|\n|ROI_name | | 0|\n|ROI_category |Psychology, physics, early visual, or multiple demand ROI | 0|\n|n_voxels_in_brainmasked_parcel |N voxels in parcel | 0|\n|subjectID | | 0|\n|contrast_for_topVoxel_selection |Contrast basis for ROI selection | 0|\n|selection_contrast_task_name |Task basis for ROI selection | 0|\n|extracted_copes_main_condition |Which condition copes were extracted from | 0|\n|extracted_run_number |Which run (1-4) copes were extracted from | 0|\n|mean_topVoxels_main_condition_copes |Mean response from ROI | 0|\n|vector1_topVoxels_main_condition_copes |Vector of responses in ROI | 0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
"datePublished": "2023-08-21",
"creator": {
"@type": "Person",
"givenName": "Shari",
"familyName": "Liu",
"email": "shariliu@jhu.edu",
"affiliation": {
"@type": "Organization",
"name": "Johns Hopkins University, Baltimore, MD, USA"
}
},
"citation": "Liu, S., Lydic, K., Mei, L., & Saxe, R. (2023, preprint). Violations of physical and psychological expectations in the human adult brain.",
"temporalCoverage": "2023",
"keywords": ["top_voxel_selection_method", "ROI_name", "ROI_category", "n_voxels_in_brainmasked_parcel", "subjectID", "contrast_for_topVoxel_selection", "selection_contrast_task_name", "extracted_copes_main_condition", "extracted_run_number", "mean_topVoxels_main_condition_copes", "vector1_topVoxels_main_condition_copes"],
"@context": "http://schema.org/",
"@type": "Dataset",
"variableMeasured": [
{
"name": "top_voxel_selection_method",
"description": "Size of extracted ROI (# voxels)",
"@type": "propertyValue"
},
{
"name": "ROI_name",
"description": "",
"@type": "propertyValue"
},
{
"name": "ROI_category",
"description": "Psychology, physics, early visual, or multiple demand ROI",
"@type": "propertyValue"
},
{
"name": "n_voxels_in_brainmasked_parcel",
"description": "N voxels in parcel",
"@type": "propertyValue"
},
{
"name": "subjectID",
"description": "",
"@type": "propertyValue"
},
{
"name": "contrast_for_topVoxel_selection",
"description": "Contrast basis for ROI selection",
"@type": "propertyValue"
},
{
"name": "selection_contrast_task_name",
"description": "Task basis for ROI selection",
"@type": "propertyValue"
},
{
"name": "extracted_copes_main_condition",
"description": "Which condition copes were extracted from",
"@type": "propertyValue"
},
{
"name": "extracted_run_number",
"description": "Which run (1-4) copes were extracted from",
"@type": "propertyValue"
},
{
"name": "mean_topVoxels_main_condition_copes",
"description": "Mean response from ROI",
"@type": "propertyValue"
},
{
"name": "vector1_topVoxels_main_condition_copes",
"description": "Vector of responses in ROI",
"@type": "propertyValue"
}
]
}`
Path: input_data/exp1_subject_info.csv
subj_info <- rio::import(here("input_data/exp1_subject_info.csv"))
var_label(subj_info) <- list(
experiment = "",
include = "Include subject in dataset?",
exclude_why = "If exclude, why?",
subjectID = "",
gender = "Self-reported gender",
handed = "Left or right handed",
age = "Age in years at time of scan",
data_sharing = "Consented to sharing de-faced images on OpenNeuro?"
)
metadata(subj_info)$name <- "Subject info, Experiment 1"
metadata(subj_info)$description <- "Subject information for the manuscript entitled 'Violations of physical and psychological expectations in the human adult brain' by Liu et al."
metadata(subj_info)$datePublished <- "2023-08-21"
metadata(subj_info)$creator <- list(
"@type" = "Person",
givenName = "Shari", familyName = "Liu",
email = "shariliu@jhu.edu",
affiliation = list("@type" = "Organization",
name = "Johns Hopkins University, Baltimore, MD, USA"))
metadata(ROI_data)$citation <- "Liu, S., Lydic, K., Mei, L., & Saxe, R. (2023, preprint). Violations of physical and psychological expectations in the human adult brain."
metadata(subj_info)$temporalCoverage <- "2023"
codebook(subj_info)
## No missing values.
Dataset name: Subject info, Experiment 1
Subject information for the manuscript entitled ‘Violations of physical and psychological expectations in the human adult brain’ by Liu et al.
Temporal Coverage: 2023
Date published: 2023-08-21
Creator:
| name | value |
|---|---|
| @type | Person |
| givenName | Shari |
| familyName | Liu |
| shariliu@jhu.edu | |
| affiliation | Organization , Johns Hopkins University, Baltimore, MD, USA |
|
#Variables
Distribution of values for experiment
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| experiment | character | 0 | 1 | 1 | 0 | 6 | 6 | 0 |
Include subject in dataset?
Distribution of values for include
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| include | Include subject in dataset? | numeric | 0 | 1 | 0 | 1 | 1 | 0.85 | 0.3663475 | ▂▁▁▁▇ |
If exclude, why?
Distribution of values for exclude_why
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| exclude_why | If exclude, why? | character | 0 | 1 | 3 | 17 | 0 | 10 | 0 |
Distribution of values for subjectID
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| subjectID | character | 0 | 1 | 20 | 0 | 14 | 14 | 0 |
Self-reported gender
Distribution of values for gender
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| gender | Self-reported gender | character | 0 | 1 | 2 | 0 | 1 | 1 | 0 |
Left or right handed
Distribution of values for handed
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| handed | Left or right handed | character | 0 | 1 | 2 | 0 | 4 | 5 | 0 |
Age in years at time of scan
Distribution of values for age
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| age | Age in years at time of scan | numeric | 0 | 1 | 19 | 22 | 45 | 25.05 | 6.468344 | ▇▃▂▁▁ |
Consented to sharing de-faced images on OpenNeuro?
Distribution of values for data_sharing
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| data_sharing | Consented to sharing de-faced images on OpenNeuro? | numeric | 0 | 1 | 0 | 1 | 1 | 0.9 | 0.3077935 | ▁▁▁▁▇ |
The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.
{
"name": "Subject info, Experiment 1",
"description": "Subject information for the manuscript entitled 'Violations of physical and psychological expectations in the human adult brain' by Liu et al.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name |label | n_missing|\n|:------------|:--------------------------------------------------|---------:|\n|experiment | | 0|\n|include |Include subject in dataset? | 0|\n|exclude_why |If exclude, why? | 0|\n|subjectID | | 0|\n|gender |Self-reported gender | 0|\n|handed |Left or right handed | 0|\n|age |Age in years at time of scan | 0|\n|data_sharing |Consented to sharing de-faced images on OpenNeuro? | 0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
"datePublished": "2023-08-21",
"creator": {
"@type": "Person",
"givenName": "Shari",
"familyName": "Liu",
"email": "shariliu@jhu.edu",
"affiliation": {
"@type": "Organization",
"name": "Johns Hopkins University, Baltimore, MD, USA"
}
},
"temporalCoverage": "2023",
"keywords": ["experiment", "include", "exclude_why", "subjectID", "gender", "handed", "age", "data_sharing"],
"@context": "http://schema.org/",
"@type": "Dataset",
"variableMeasured": [
{
"name": "experiment",
"description": "",
"@type": "propertyValue"
},
{
"name": "include",
"description": "Include subject in dataset?",
"@type": "propertyValue"
},
{
"name": "exclude_why",
"description": "If exclude, why?",
"@type": "propertyValue"
},
{
"name": "subjectID",
"description": "",
"@type": "propertyValue"
},
{
"name": "gender",
"description": "Self-reported gender",
"@type": "propertyValue"
},
{
"name": "handed",
"description": "Left or right handed",
"@type": "propertyValue"
},
{
"name": "age",
"description": "Age in years at time of scan",
"@type": "propertyValue"
},
{
"name": "data_sharing",
"description": "Consented to sharing de-faced images on OpenNeuro?",
"@type": "propertyValue"
}
]
}`
Path: input_data/manyregions_info.csv
region_info <- rio::import(here("input_data/manyregions_info.csv"))
var_label(region_info) <- list(
ROI_name = "Original ROI name that matches file names of ROI parcels",
ROI_name_final = "Simplified ROI name",
ROI_category = "Psychology physics early visual or MD",
focal_region = "Focal region in analyses?",
manyregions_region = "Included in regions involving many ROIs?",
old_ROI = "Old ROI that was generated due to mistake in analysis? Included for transparency"
)
metadata(region_info)$name <- "Region info, Experiment 1"
metadata(region_info)$description <- "Region information for the manuscript entitled 'Violations of physical and psychological expectations in the human adult brain' by Liu et al."
metadata(region_info)$datePublished <- "2023-08-21"
metadata(region_info)$creator <- list(
"@type" = "Person",
givenName = "Shari", familyName = "Liu",
email = "shariliu@jhu.edu",
affiliation = list("@type" = "Organization",
name = "Johns Hopkins University, Baltimore, MD, USA"))
metadata(region_info)$citation <- "Liu, S., Lydic, K., Mei, L., & Saxe, R. (2023, preprint). Violations of physical and psychological expectations in the human adult brain."
metadata(region_info)$temporalCoverage <- "2023"
codebook(region_info)
## No missing values.
Dataset name: Region info, Experiment 1
Region information for the manuscript entitled ‘Violations of physical and psychological expectations in the human adult brain’ by Liu et al.
Temporal Coverage: 2023
Citation: Liu, S., Lydic, K., Mei, L., & Saxe, R. (2023, preprint). Violations of physical and psychological expectations in the human adult brain.
Date published: 2023-08-21
Creator:
| name | value |
|---|---|
| @type | Person |
| givenName | Shari |
| familyName | Liu |
| shariliu@jhu.edu | |
| affiliation | Organization , Johns Hopkins University, Baltimore, MD, USA |
|
#Variables
Original ROI name that matches file names of ROI parcels
Distribution of values for ROI_name
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| ROI_name | Original ROI name that matches file names of ROI parcels | character | 0 | 1 | 48 | 0 | 8 | 53 | 0 |
Simplified ROI name
Distribution of values for ROI_name_final
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| ROI_name_final | Simplified ROI name | character | 0 | 1 | 48 | 0 | 4 | 28 | 0 |
Psychology physics early visual or MD
Distribution of values for ROI_category
0 missing values.
| name | label | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace |
|---|---|---|---|---|---|---|---|---|---|
| ROI_category | Psychology physics early visual or MD | character | 0 | 1 | 4 | 0 | 2 | 12 | 0 |
Focal region in analyses?
Distribution of values for focal_region
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| focal_region | Focal region in analyses? | numeric | 0 | 1 | 0 | 0 | 1 | 0.1666667 | 0.3766218 | ▇▁▁▁▂ |
Included in regions involving many ROIs?
Distribution of values for manyregions_region
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| manyregions_region | Included in regions involving many ROIs? | numeric | 0 | 1 | 0 | 1 | 1 | 0.8333333 | 0.3766218 | ▂▁▁▁▇ |
Old ROI that was generated due to mistake in analysis? Included for transparency
Distribution of values for old_ROI
0 missing values.
| name | label | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| old_ROI | Old ROI that was generated due to mistake in analysis? Included for transparency | numeric | 0 | 1 | 0 | 0 | 1 | 0.0416667 | 0.2019409 | ▇▁▁▁▁ |
The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.
{
"name": "Region info, Experiment 1",
"description": "Region information for the manuscript entitled 'Violations of physical and psychological expectations in the human adult brain' by Liu et al.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name |label | n_missing|\n|:------------------|:--------------------------------------------------------------------------------|---------:|\n|ROI_name |Original ROI name that matches file names of ROI parcels | 0|\n|ROI_name_final |Simplified ROI name | 0|\n|ROI_category |Psychology physics early visual or MD | 0|\n|focal_region |Focal region in analyses? | 0|\n|manyregions_region |Included in regions involving many ROIs? | 0|\n|old_ROI |Old ROI that was generated due to mistake in analysis? Included for transparency | 0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
"datePublished": "2023-08-21",
"creator": {
"@type": "Person",
"givenName": "Shari",
"familyName": "Liu",
"email": "shariliu@jhu.edu",
"affiliation": {
"@type": "Organization",
"name": "Johns Hopkins University, Baltimore, MD, USA"
}
},
"citation": "Liu, S., Lydic, K., Mei, L., & Saxe, R. (2023, preprint). Violations of physical and psychological expectations in the human adult brain.",
"temporalCoverage": "2023",
"keywords": ["ROI_name", "ROI_name_final", "ROI_category", "focal_region", "manyregions_region", "old_ROI"],
"@context": "http://schema.org/",
"@type": "Dataset",
"variableMeasured": [
{
"name": "ROI_name",
"description": "Original ROI name that matches file names of ROI parcels",
"@type": "propertyValue"
},
{
"name": "ROI_name_final",
"description": "Simplified ROI name",
"@type": "propertyValue"
},
{
"name": "ROI_category",
"description": "Psychology physics early visual or MD",
"@type": "propertyValue"
},
{
"name": "focal_region",
"description": "Focal region in analyses?",
"@type": "propertyValue"
},
{
"name": "manyregions_region",
"description": "Included in regions involving many ROIs?",
"@type": "propertyValue"
},
{
"name": "old_ROI",
"description": "Old ROI that was generated due to mistake in analysis? Included for transparency",
"@type": "propertyValue"
}
]
}`